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AngryDwarf

AngryDwarf — CS2 Stats

US76561198061021671[U:1:100755943]Steam profile ↗

229Tracked matches41%Win rate2020Tracked since
1,715Hours in CS
CSDB Rating4.6 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim62
Positioning41
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY29–66–5Last 10029%Win rateWTWWWWLLWL

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.2
Aggression5.8
Utility4.6
Positioning4.1
Opening Duels1.8

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.2
Positioning4.1
Utility4.6
Mechanics5.7
Opening Duels1.8
Win Impact2.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time624ms−51ms
first ⅓ avg 676ms → last ⅓ avg 624ms
Headshot accuracy14.8%−1.7%
first ⅓ avg 16.5% → last ⅓ avg 14.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.16Best rating — inferno 13–6
13–1Biggest win — nuke
4Longest win streak
4–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 43% over 14infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
mirageD163–1319%-0.01
dust2D164–1225%-0.01
cacheC146–843%-0.02
infernoD132–1115%0.00
nukeD113–827%-0.02
ancientD112–918%-0.02
anubisC73–443%-0.03
overpass—43–175%0.02
train—20–20%-0.06
vertigo—22–0100%-0.03
shelter—10–10%-0.10
fachwerk—11–0100%0.04
boulder—10–10%-0.06
office—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,441Lifetime kills
0.85K/D
10,078Matches
67.3%Match win rate · Top 5% of tracked players
28.8%Headshot %
18.5%Shot accuracy · Top 10% of tracked players
7,409MVPs
1,715Hours (in match)
3,568Bombs planted
1,017Bombs defused

Most-used weapons

AK-4715,139
AWP10,544
M4A4 / M4A1-S10,128
P2000 / USP-S2,833
Desert Eagle2,693
Knife2,316
P2502,113
Glock-182,100
P902,064
FAMAS1,941

Lifetime map wins

16,809dust2
3,154inferno
960nuke
774train
727cbble
390vertigo
380office
213lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.7%Headshot accuracy
36.7%Accuracy (enemy spotted)
39.8%Spray accuracy
75.6%Counter-strafing
10.1°Preaim
627msReaction time
34.2%T opening success
39.9%CT opening success
0.44Enemies flashed / flash
5.9%Flash assists
13.46HE damage / grenade
3.44Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7318% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4438 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.2294% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–30.0418%2 Aug →
train12–12-0.0110%2 Aug →
cache13–70.0010%2 Aug →
cache13–8-0.0216%2 Aug →
vertigo13–9-0.0315%1 Aug →
vertigo13–11-0.034%1 Aug →
anubis4–13-0.019%1 Aug →
cache7–13-0.0510%1 Aug →
cache13–60.0214%29 Jul →
inferno5–13-0.0220%29 Jul →
mirage7–130.1311%27 Jul →
anubis13–9-0.006%27 Jul →
anubis4–13-0.064%26 Jul →
ancient6–13-0.087%26 Jul →
anubis1–13-0.0350%26 Jul →
inferno13–60.1611%26 Jul →
train1–13-0.1138%23 Jul →
cache11–13-0.044%19 Jul →
inferno13–100.0111%17 Jul →
dust28–13-0.048%17 Jul →
cache13–110.1615%11 Jul →
shelter2–13-0.1015%10 Jul →
fachwerk13–90.0418%10 Jul →
boulder9–13-0.0611%10 Jul →
cache13–10-0.0813%2 Jul →
overpass10–13-0.0127%2 Jul →
nuke10–130.0013%2 Jul →
cache4–13-0.1026%1 Jul →
ancient3–13-0.066%15 Jun →
inferno10–13-0.0217%14 Jun →
dust28–13-0.0617%13 Jun →
mirage8–13-0.0020%13 Jun →
dust213–10-0.0116%12 Jun →
ancient6–13-0.039%11 Jun →
dust23–13-0.0421%11 Jun →
nuke8–13-0.0810%10 Jun →
ancient6–13-0.0614%10 Jun →
inferno6–13-0.0213%9 Jun →
mirage15–15-0.0114%8 Jun →
inferno3–13-0.0129%8 Jun →
overpass16–14-0.0112%7 Jun →
mirage10–130.0015%7 Jun →
dust215–15-0.0116%7 Jun →
nuke13–10.0418%7 Jun →
ancient11–13-0.0215%6 Jun →
anubis13–10-0.0310%6 Jun →
anubis13–9-0.057%6 Jun →
mirage3–13-0.0325%6 Jun →
mirage11–13-0.0619%5 Jun →
nuke7–13-0.0712%4 Jun →
dust211–130.0418%4 Jun →
inferno10–13-0.068%3 Jun →
nuke4–13-0.0315%3 Jun →
dust213–70.089%3 Jun →
inferno7–13-0.0311%2 Jun →
inferno0–13-0.070%2 Jun →
ancient10–13-0.0211%2 Jun →
mirage6–13-0.0819%2 Jun →
anubis4–13-0.0116%2 Jun →
overpass13–100.033%2 Jun →
nuke13–5-0.0131%1 Jun →
inferno11–13-0.0410%1 Jun →
ancient3–13-0.0016%1 Jun →
overpass13–110.0519%1 Jun →
ancient13–100.049%1 Jun →
dust21–130.0927%1 Jun →
dust25–13-0.0720%1 Jun →
mirage15–15-0.0116%31 May →
nuke10–130.0512%31 May →
dust213–80.0618%31 May →
mirage8–130.0217%31 May →
mirage11–13-0.024%27 May →
ancient3–13-0.0120%27 May →
dust216–12-0.0510%27 May →
ancient13–10.0625%27 May →
inferno5–130.0614%27 May →
dust211–13-0.0311%26 May →
ancient11–13-0.0222%26 May →
mirage4–13-0.0422%26 May →
dust27–13-0.087%25 May →
nuke1–13-0.0416%25 May →
inferno8–130.0413%24 May →
inferno14–160.0220%23 May →
office8–13-0.0914%23 May →
mirage16–12-0.0412%15 May →
dust25–13-0.0315%15 May →
cache6–13-0.0113%10 May →
mirage4–13-0.0024%10 May →
dust26–13-0.0236%10 May →
mirage13–60.0313%9 May →
nuke0–13-0.0440%9 May →
mirage13–80.019%9 May →
mirage8–130.0022%6 May →
dust25–130.0019%6 May →
nuke4–13-0.0410%6 May →
cache11–13-0.095%4 May →
cache13–10-0.0317%4 May →
cache12–120.0613%4 May →
cache4–13-0.0026%4 May →
cache1–13-0.048%4 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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